ArticleBMJ public health2025
Measuring misaligned contraceptive use among reproductive-aged women in Kisumu, Kenya: a cross-sectional, population-based study.
Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Postpartum Intrauterine Device Removal and Access to Removal in the 18 Months Following an Intervention in Tanzania, Sri Lanka, and Nepal.Studies in family planning · 2026Trial
- It's Time to Get Practical: A Call for Shorter Measures in the Family Planning Community.Studies in family planning · 2026Article
- Psychosocial determinants of contraceptive desire and use among sexually-active adolescent girls in Kenya and Nigeria: implications for girl-centered contraceptive programs.Contraception and reproductive medicine · 2025Article
- Piloting measures of provider-imposed contraceptive coercion among reproductive-aged contraceptive users in Kisumu, Kenya: a cross-sectional, population-based study.Contraception and reproductive medicine · 2025Article
- Contraceptive Concordance.Studies in family planning · 2025Article
- How Do We Measure Contraceptive Method Preferences? Evidence From a Scoping Review.Studies in family planning · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
Abstract
Introduction: Global family planning scholars have critiqued traditional measures of programmatic success and called for new, person-centred measures that consider people's preferences. We propose a new measure that assesses the alignment between an individual's contraceptive desires and use. Methods: We use data from a population-based survey implemented among adult reproductive-aged women in Kisumu, Kenya. We define misaligned contraceptive use as discordance between contraceptive desires and use (ie, desire for contraception paired with non-use or no desire for contraception paired with use). We expand misaligned use to incorporate non-preferred contraceptive method use, defined as the use of a method with a preference for a different method among contraceptive users. We also compare unmet need for family planning with misaligned use. Results: In our total sample, including contraceptive users and non-users, 86% of participants had aligned contraceptive use and 14% had misaligned use. Among contraceptive users, we found that 74% of participants had aligned and preferred method use, 21% had aligned and non-preferred method use, 2% had misaligned and preferred use, and 3% had misaligned and non-preferred use. Our comparison of misaligned use and unmet need showed little agreement. Conclusions: Measuring misaligned and non-preferred contraceptive method use has implications for family planning measurement and programming. Our results demonstrate the importance of capturing contraceptive desires rather than assuming an implicit desire for contraception among those who do not desire pregnancy. Further, incorporating method preferences into misaligned use provides additional detail on who does and does not have their contraceptive desires met. Finally, measuring misaligned and non-preferred method use highlights subsets of populations who may benefit from additional contraceptive programming to improve contraceptive access or enable method discontinuation or switching, and therefore can be imperative to ensuring that individuals have their reproductive desires realised.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.